Senior Data Developer

Posted 5 months agoViewed

💎 Seniority level: Senior, 8+ years

📍 Location: Quebec, Montreal

🔍 Industry: Healthcare technology, AI for cognitive impairments

🗣️ Languages: English

⏳ Experience: 8+ years

🪄 Skills: AWSPythonSoftware DevelopmentSQLAgileProduct ManagementBusiness OperationsAirflowData engineering

8+ years of professional software development experience, preferably within a SaaS startup.
Proven experience with data storage and pipeline solutions.
Proficiency in Python and PySpark in data engineering context.
Proficient in SQL and related database concepts and tools.
Knowledge of workflow orchestration tools like Airflow.
Experience with data warehouse modeling techniques.
Familiarity with event-based systems using tools like AWS EventBridge.
Experience with data analytics tools such as Looker.
Ability to optimize performance of SQL queries and PySpark jobs.
Strong communication skills for teamwork.

Build infrastructure for data extraction, transformation, and loading from various sources.
Create analytical tools for actionable insights into health care metrics.
Collaborate with stakeholders to address data needs and improve patient outcomes.
Develop tests for data validation and maintain high quality.
Document changes and write technical specifications.
Work in an Agile environment to improve feature delivery.
Support customer and operations teams as needed.

Posted about 1 month ago

📍 Canada

🔍 Video platform for business

Data Engineering Expertise: Dive deep into Data Systems (Collect, Ingest, Store, Process, Visualize, and Analyze).
Data Modeling Expertise: Designing and implementing robust, scalable data models optimized for performance.
Decisive in Ambiguity: Comfortable making decisions in uncertain situations.
Communication Champion: Exceptional clarity in understanding and managing risks, discussing technical trade-offs.
Collaboration Across Teams: Building a robust Company Data System in alignment with business needs and requirements.
Quality Leader: Driven to uplift standards in quality, reliability, and performance.
Lean & Experimental: Iterative and value-driven approach, love for experimentation.
Mentor & Guide: Sharing knowledge and mentoring team members.

Leading key projects enhancing our data pipeline and roadmap while assessing cutting-edge technologies.
Promoting the adoption of internally developed tools through engaging with users, creating comprehensive guides, and ensuring the tool integrates well with existing systems.
Ensuring code development and review meet our high standards.
Participating in our incident management process, addressing incidents, ensuring swift resolutions, and conducting thorough root cause analyses.
Integrating cost-effectiveness and security considerations into our data practices.

AWSNode.jsPostgreSQLSoftware DevelopmentMySQLRubyRuby on RailsData engineeringCollaborationMentoringCompliance

Posted about 1 month ago

🔧 Requirements